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We demonstrate that learning procedures that rely on aggregated labels, e.g., label information distilled from noisy responses, enjoy robustness properties impossible without data cleaning. This robustness appears in several ways. In the…

Machine Learning · Statistics 2026-05-26 Chen Cheng , John Duchi

With the introduction of the term blockchain in 2008, its interest has been increasing in the community since the idea was coined. The reason for this interest is because it provides anonymity, security and integrity without any central…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-28 Zuhaib Akhtar

Blockchains have sparked global interest in recent years, gaining importance as they increasingly influence technology and finance. This thesis investigates the robustness of blockchain protocols, specifically focusing on Ethereum…

Cryptography and Security · Computer Science 2024-12-02 Ulysse Pavloff

Permissioned ledger technologies have gained significant traction over the last few years. For practical reasons, their applications have focused on transforming narrowly scoped use-cases in isolation. This has led to a proliferation of…

Cryptography and Security · Computer Science 2021-05-11 Ermyas Abebe , Yining Hu , Allison Irvin , Dileban Karunamoorthy , Vinayaka Pandit , Venkatraman Ramakrishna , Jiangshan Yu

The rise of cryptocurrencies like Bitcoin and Ethereum has driven interest in blockchain database technology, with smart contracts enabling the growth of decentralized finance (DeFi). However, research has shown that adversaries exploit…

Databases · Computer Science 2026-01-30 Dakai Kang , Junchao Chen , Tien Tuan Anh Dinh , Mohammad Sadoghi

A blockchain is a distributed ledger for recording transactions, maintained by many nodes without central authority through a distributed cryptographic protocol. All nodes validate the information to be appended to the blockchain, and a…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-10 Christian Cachin , Marko Vukolić

We introduce a structure for the directed acyclic graph (DAG) and a mechanism design based on that structure so that peers can reach consensus at large scale based on proof of work (PoW). We also design a mempool transaction assignment…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-10 Jiahao He , Guangju Wang , Guangyuan Zhang , Jiheng Zhang

In this study, we delve into the robustness of neural network-based LiDAR point cloud tracking models under adversarial attacks, a critical aspect often overlooked in favor of performance enhancement. These models, despite incorporating…

Computer Vision and Pattern Recognition · Computer Science 2025-10-23 Shengjing Tian , Xiantong Zhao , Yuhao Bian , Yinan Han , Bin Liu

To maximize performance, many modern blockchain systems rely on eventually-synchronous, Byzantine fault-tolerant (BFT) consensus protocols. Two protocol designs have emerged in this space: protocols that minimize latency using a leader that…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-21 Qianyu Yu , Giuliano Losa , Nibesh Shrestha , Xuechao Wang

Auditing provides an essential security control in computer systems, by keeping track of all access attempts, including both legitimate and illegal access attempts. This phase can be useful to the context of audits, where eventual…

Cryptography and Security · Computer Science 2020-06-09 Sara Rouhani , Rafael Belchior , Rui S. Cruz , Ralph Deters

We study networked binary classification on a directed acyclic graph (DAG) where each agent observes only a subset of the feature columns of a shared dataset. Agents act sequentially along the DAG: each receives prediction columns from its…

Federated learning (FL) aims to collaboratively train a global model while ensuring client data privacy. However, FL faces challenges from the non-IID data distribution among clients. Clustered FL (CFL) has emerged as a promising solution,…

Machine Learning · Computer Science 2023-08-28 Xiaofeng Xue , Haokun Mao , Qiong Li

Recent works show that Graph Neural Networks (GNNs) are highly non-robust with respect to adversarial attacks on both the graph structure and the node attributes, making their outcomes unreliable. We propose the first method for certifiable…

Machine Learning · Computer Science 2019-07-01 Daniel Zügner , Stephan Günnemann

A popular method of improving the throughput of blockchain systems is by running smaller side blockchains that push the hashes of their blocks onto a trusted blockchain. Side blockchains are vulnerable to stalling attacks where a side…

Information Theory · Computer Science 2021-08-27 Debarnab Mitra , Lev Tauz , Lara Dolecek

To date, most directed acyclic graphs (DAGs) structure learning approaches require data to be stored in a central server. However, due to the consideration of privacy protection, data owners gradually refuse to share their personalized raw…

Machine Learning · Computer Science 2023-01-18 Erdun Gao , Junjia Chen , Li Shen , Tongliang Liu , Mingming Gong , Howard Bondell

In public distributed ledger technologies (DLTs), such as Blockchains, nodes can join and leave the network at any time. A major challenge occurs when a new node joining the network wants to retrieve the current state of the ledger. Indeed,…

Cryptography and Security · Computer Science 2020-06-22 François Bonnet , Quentin Bramas , Xavier Défago

In this paper, we propose two models for scaling the transaction throughput in Proof-of-Work (PoW) based blockchain networks. In the first approach, a mathematical model has derived for optimal transaction throughput for PoW based longest…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-21 B Swaroopa Reddy , G V V Sharma

This paper studies output feedback consensus protocol design problems for linear multi-agent systems with directed graphs. We consider both leaderless and leader-follower consensus with a leader whose control input is nonzero and bounded.…

Systems and Control · Computer Science 2015-11-05 Yuezu Lv , Zhongkui Li , Zhisheng Duan , Jie Chen

Traditional public distributed ledgers have not been able to scale-out well and work efficiently. Sharding is deemed as a promising way to solve this problem. By partitioning all nodes into small committees and letting them work in…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-07 Mengqian Zhang , Jichen Li , Zhaohua Chen , Hongyin Chen , Xiaotie Deng

As more and more distributed renewable energy resources are integrated to the grid, the traditional consumers have become the prosumers who can sell back their surplus energy to the others who are in energy shortage. This peer-to-peer (P2P)…

Computers and Society · Computer Science 2018-10-15 Van Hoa Nguyen , Yvon Besanger , Quoc Tuan Tran , Minh Tri Le